Exploratory Data Analysis - EDA for Modeling References
Lesson references
For supplemental reading material on this topic, check out the following resources:
Academic Content (roughly sorted from least technical to most)
- A gentle intro to EDA
- Feature engineering: a practical approach for predictive models
- Making sense of the Kolmogorov-Smirnov Test
- Chi-Square applicability
- An introduction to statistical learning - Chapter 2
Python
- Pandas profiling for automated EDA
- Seaborn statistical data visualization
- Scikit-Learn preprocessing
- Feature scaling with Scikit learn
- Scipy stats
- Stats models diagnostic plots
- Visualization of distributions with seaborn
- Plotly for interactive EDA